PROJECT AGERE (Agentic Recruiter) - Google x Kaggle

AGERE (AGEntic REcruiter) is an AI-powered interview assistant built with Google's Agent Development Kit (ADK) and Gemini 2.5 models. It guides job candidates through every step of the application process: analyzing CVs, matching candidates to jobs, validating technical skills through automated coding assessments, assessing language proficiency, and scheduling live interviews.

🏆 Kaggle x Google Agents Intensive Capstone Project Helping job candidates ace interviews with precision, confidence, and structure.

Click to watch the video presentation!

 

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🚨 Problem Statement

Preparing for technical interviews is often stressful and inefficient due to:

• Fragmented solutions with no end-to-end support from resume to interview.
• Limited personalized feedback on skills, coding, and language proficiency.
• Difficulty in validating technical solutions in coding, ML, and system design.
• Time-consuming preparation without guidance on where to focus.

AGERE solves these problems by orchestrating specialized AI agents in a structured workflow, providing interactive, automated guidance throughout the candidate journey.

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🤖 What is AGERE?

AGERE is a multi-agent orchestration system that automates candidate preparation across six sequential steps:

1. CV Analysis: Reads and parses CVs, extracting skills, experience, education, and languages.
2. Job Matching: Recommends suitable job openings from a local database based on extracted skills.
3. Coding Assessment: Presents tailored coding problems, executes submissions in a secure sandbox, and provides automatic pass/fail evaluation.
4. Language Assessment: Generates and evaluates a conversational test in a candidate's non-English language (if applicable).
5. Interview Scheduling: Finds available slots and books live interviews via Google Calendar, handling tokens, conflicts, and time zones.
6. End-to-End Orchestration: Ensures tasks are executed sequentially (CV → Job → Coding → Language → Scheduling) for a structured candidate journey.

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🏗️ Architecture

AGERE implements a hierarchical multi-agent architecture powered by Google’s ADK and Gemini 2.5 models.

graph TB
    UI[🖥️ Streamlit UI<br/>Interactive Frontend]
    ORCH[🎯 Orchestrator Agent<br/>LLM Manager<br/>Gemini 2.5]

    subgraph "Specialized Agents"
        CV[📄 CV Analysis Agent<br/>Reads & parses resumes<br/>Gemini 2.5]
        JOB[🔍 Job Matching Agent<br/>Matches candidates to jobs<br/>Gemini 2.5]
        CODE[⚙️ Code Assessment Agent<br/>Evaluates coding assignments<br/>Gemini 2.5]
        LANG[🌐 Language Assessment Agent<br/>Generates & evaluates language tests<br/>Gemini 2.5]
        CAL[📅 Calendar Agent<br/>Manages interview scheduling<br/>Gemini 2.5]
    end

    subgraph "Custom Tools Layer"
        CVTOOLS[📂 CV Tools<br/>read_cv<br/>list_available_cvs<br/>compare_candidates]
        JOBTOOLS[📋 Job Tools<br/>list_jobs_from_db]
        SANDBOX[🖥️ Code Sandbox<br/>execute_code<br/>run_code_assignment]
        CALTOOLS[📆 Calendar Tools<br/>calendar_get_busy<br/>calendar_book_slot]
    end

    subgraph "External Services"
        GCAL[📆 Google Calendar<br/>OAuth2 Integration]
        JOBDB[💾 Jobs SQLite DB]
    end

    UI <--> ORCH
    ORCH --> CV
    ORCH --> JOB
    ORCH --> CODE
    ORCH --> LANG
    ORCH --> CAL

    CV --> CVTOOLS
    JOB --> JOBTOOLS
    CODE --> SANDBOX
    CAL --> CALTOOLS

    JOBTOOLS -.-> JOBDB
    CALTOOLS <--> GCAL

    style UI fill:#667eea,stroke:#333,stroke-width:2px,color:#fff
    style ORCH fill:#764ba2,stroke:#333,stroke-width:3px,color:#fff
    style CV fill:#f093fb,stroke:#333,stroke-width:2px,color:#333
    style JOB fill:#f093fb,stroke:#333,stroke-width:2px,color:#333
    style CODE fill:#f093fb,stroke:#333,stroke-width:2px,color:#333
    style LANG fill:#f093fb,stroke:#333,stroke-width:2px,color:#333
    style CAL fill:#f093fb,stroke:#333,stroke-width:2px,color:#333
    style GCAL fill:#34a853,stroke:#333,stroke-width:2px,color:#fff
    style JOBDB fill:#ffb347,stroke:#333,stroke-width:2px,color:#333

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📁 Project Structure

agere-capstone-project-google-kaggle/
├── main.py                    # Streamlit App
├── requirements.txt
├── .env / env.example          # Configuration file
├── README.md
│
├── src/
│   ├── agents/
│   │   └── agents.py          # Orchestrator + Specialized Agents
│   ├── tools/
│   │   ├── tools.py           # CV operations & custom tools
│   │   ├── code_sandbox.py    # Sandboxed code execution
│   │ 
│   └── styles/custom.css
│
├── jobs/
│   ├── jobs.db                # SQLite job listings
│   ├── jobs_db.py

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🔧 Installation & Setup

1. Clone & Create Environment

git clone [https://github.com/pitdagosti/agere-capstone-project-google-kaggle.git](https://github.com/pitdagosti/agere-capstone-project-google-kaggle.git)
cd agere-capstone-project-google-kaggle
python -m venv .venv
source .venv/bin/activate  # macOS/Linux
# OR
.venv\Scripts\activate     # Windows PowerShell
pip install --upgrade pip
pip install -r requirements.txt

2. Setup Environment Variables

AGERE requires essential API credentials for the Gemini model and Google Calendar integration.

python -m spacy download en_core_web_sm
# Copy the template file to create your local .env file
cp env.example .env 

Crucially, you must edit the newly created .env file and replace the placeholder values (your_..._here) with your actual credentials:

• GOOGLE_API_KEY: Your key to access the Gemini 2.5 models.
• Google Calendar OAuth Credentials: Follow Step 3 below to obtain the GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET, and GOOGLE_REFRESH_TOKEN.
• CALENDAR_ID: The email address of the calendar AGERE should use for scheduling (e.g., recruiter@company.com).

3. Google Calendar OAuth Credentials Setup

The Calendar Agent requires the Refresh Token for non-interactive, long-term (offline) access. Follow these steps carefully to generate your credentials:

A. Google Cloud Console Setup (Client ID & Secret)

1. Enable API: Go to the Google Cloud Console, create/select a project, and enable the Google Calendar API.
2. Consent Screen: Navigate to APIs & Services > OAuth consent screen. Configure your app details and add the scope https://www.googleapis.com/auth/calendar (required for booking).
3. Credentials: Navigate to APIs & Services > Credentials. Click + CREATE CREDENTIALS and choose OAuth client ID.
4. Select Web application as the type. Add http://localhost to the Authorized redirect URIs (required for the next step).
5. Save the resulting values: GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET.

B. Generating the Refresh Token (GOOGLE_REFRESH_TOKEN)

1. Go to the Google OAuth 2.0 Playground.
2. Click the gear icon (⚙️), check "Use your own OAuth credentials," and input your GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET.
3. In Step 1, select the Calendar scope: https://www.googleapis.com/auth/calendar. Click Authorize APIs.
4. After signing in with the Google Account whose calendar AGERE will manage, you will be redirected to Step 2.
5. Click Exchange authorization code for tokens. The resulting JSON will contain the long-lived refresh_token.
6. Copy this token and paste it into your .env file as the value for GOOGLE_REFRESH_TOKEN.

4. Launch Streamlit UI

streamlit run main.py

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👥 Team

Name	GitHub	Kaggle	LinkedIn
Pietro D'Agostino	@pitdagosti	pietrodagostino	LinkedIn
Abdul Basit Memon	@abm1119	abdulbasit1119	LinkedIn
Amos Bocelli	@Luminare7	amosboc	LinkedIn
Asterios Terzis	@agterzis	asteriosterzis	LinkedIn

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📜 License

CC BY-SA 4.0 for code and documentation. More info

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🤝 Contributing

We welcome community contributions!

• Bug reports & feature requests via GitHub Issues.
• Pull requests for new features, bug fixes, or improvements.
• Maintain code readability and follow existing architecture patterns.

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🏆 Built for Kaggle x Google Agents Intensive Hackathon

PROJECT AGERE – Your AI-Powered Career Coach

Prepare faster, practice smarter, and approach every interview with confidence.

📖 Documentation • 🐛 Report Bug • 💡 Request Feature